基于粒子群算法的自抗扰飞行控制器优化设计  

An ADRC Flight Controller Design Method Based on PSO Algorithm

作　　者：杨婷婷[1] 李爱军[1] 侯震[1] 

机构地区：[1]西北工业大学自动化学院,陕西西安710072

出　　处：《计算机仿真》2009年第9期59-61,69,共4页Computer Simulation

摘　　要：提出了一种基于粒子群算法的自抗扰飞行控制器优化设计方法。方法中,利用自抗扰控制方法抗干扰能力强、鲁棒性好与对模型参数变化适应能力强的特点,设计了自抗扰纵向飞行控制器,以提高飞行控制性能。同时针对所设计的自抗扰飞行控制器参数较多,难以设计的问题,应用粒子群优化算法进行了控制器参数的自寻优设计。仿真结果表明:不需要人工调参,通过粒子群优化算法自寻优获得的飞行控制器参数具有良好的控制性能,提高了设计效率。An ADRC flight controller design method based on PSO algorithm is proposed in this paper. The ADRC has strong robustness and fitness for the change of model parameter. In order to improve the flight control performance, an ADRC fight controller is designed. There are many controller parameters in the designed controller, so PSO algorithm is used to optimize the parameters. The simulation results show that the controller optimized by the PSO algorithm has excellent control performance and the design efficiency is improved.

关 键 词：自抗扰控制 粒子群优化算法 飞行控制 优化 

分 类 号：TP237[自动化与计算机技术—检测技术与自动化装置]